Intelligent Algorithm Evaluation of Incidental English Vocabulary Acquisition in Complex Reading Tasks

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Abstract

Vocabulary is the basis of learning a foreign language, and the cultivation of students' language ability is an effective means to improve students' ability to master vocabulary. In English teaching, how to effectively improve students' vocabulary level is a matter of concern. The main purpose of this paper is to explore how to use intelligent algorithms to analyze and evaluate the effect of incidental English vocabulary acquisition. From the perspective of incidental vocabulary acquisition, this paper further proved that output reading could promote students' English learning and provide some support for its application in practice. Through two groups of immediate tests and delayed tests, it was found that the learning efficiency of Class 1 of output group was higher than that of Class 2 of input group: 42.99>39.09>35.66>28.17, 16.78>14.50>14.49>12.22, 26.50>22.95> 19.32>15.90. In practical application, the study of this paper could not only provide some useful references for senior high school English teaching, but also provide some useful references for students' choice of vocabulary and reading.
复杂阅读任务中附带英语词汇习得的智能算法评价
词汇是学习外语的基础,培养学生的语言能力是提高学生掌握词汇能力的有效手段。在英语教学中,如何有效地提高学生的词汇水平是一个值得关注的问题。本文的主要目的是探讨如何使用智能算法来分析和评估英语附带词汇习得的效果。本文从附带词汇习得的角度进一步证明了输出阅读对学生英语学习的促进作用,并为输出阅读在实践中的应用提供了一定的支持。通过两组即时测试和延迟测试发现,输出组1班的学习效率高于输入组2班:42.99>39.09>35.66>28.17,16.78>14.50>14.49>12.22,26.50>22.95> 19.32>15.90。在实际应用中,本文的研究不仅可以为高中英语教学提供一些有益的参考,也可以为学生的词汇选择和阅读提供一些有益的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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